Range-dependent random graphs and their application to modeling large small-world Proteome datasets.

@article{Grindrod2002RangedependentRG,
  title={Range-dependent random graphs and their application to modeling large small-world Proteome datasets.},
  author={Peter Grindrod},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2002},
  volume={66 6 Pt 2},
  pages={066702}
}
  • Peter Grindrod
  • Published 2002 in
    Physical review. E, Statistical, nonlinear, and…
In this paper we consider the problem of characterizing and modeling large-scale networks using classes of range-dependent graphs which possess appropriate small-world properties. The application we have in mind is to bioinformatics, where methods of rapid protein identification mean that such proteome datasets, listing various observed protein-protein associations, will become more and more prevalent. We introduce a class of range-dependent graphs, governed by a power law relating intervertex… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-8 of 8 references

Strogatz, Collective dynamics of small world networks, Nature,393,440-442,1998

  • S.H.D.J. Watts
  • 1998
Highly Influential
6 Excerpts

Barabesi , The large - scale organisation of metabolic networks

  • R. Albert, Z. N. Oltvai, A.-L.
  • Nature
  • 2000

Models of the small world: a review, at achieve: http://www.arxiv.org/cond-mat/ 0001118

  • M.E.J. Newman
  • 2000
1 Excerpt

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